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13
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Easy Computation of Bayes Factors and Normalizing Constants for Mixture Models via Mixture Importance Sampling
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10
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Computing Normalizing Constants for Finite Mixture Models via Incremental Mixture Importance Sampling (IMIS)
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Performance of Bayesian Model Selection Criteria for Gaussian Mixture Models 1
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Mail Stop 10-R
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A Bayesian approach to the selection and testing of mixture models
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Transdimensional Markov Chains: A Decade of Progress and Future Perspectives
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Easy Estimation of Normalizing Constants and Bayes Factors from Posterior Simulation: Stabilizing the Harmonic Mean Estimator
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30
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Model-based clustering for social networks
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An Application of MCMC Methods and of Mixtures of Laws for the Determination of the Purity of a Product.
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Model-Based Clustering, Discriminant Analysis, and Density Estimation
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171
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Model-Based Clustering, Discriminant Analysis, and Density Estimation
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64
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